Awesome Reinforcement Learning
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Javad Lavaei — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Javad Lavaei
12
papers ·
32
citations ·
32
h-index
University of California, Berkeley
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Stability-certified reinforcement learning: A control-theoretic perspective
2018 · 23 citations
A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization
2021 · 4 citations
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
2024 · 2 citations
Policy-based Primal-Dual Methods for Concave CMDP with Variance Reduction
2022 · 1 citations
Scalable Multi-Agent Reinforcement Learning with General Utilities
2023 · 1 citations
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
2023 · 1 citations
Don't Trade Off Safety: Diffusion Regularization for Constrained Offline RL
2025
On the Global Optimum Convergence of Momentum-based Policy Gradient
2021
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints
2022
Non-stationary Risk-sensitive Reinforcement Learning: Near-optimal Dynamic Regret, Adaptive Detection, and Separation Design
2022
Tempo Adaptation in Non-stationary Reinforcement Learning
2023
Pausing Policy Learning in Non-stationary Reinforcement Learning
2024
Top co-authors
Yuhao Ding
· 9
Donghao Ying
· 5
Ming Jin
· 3
Alec Koppel
· 2
Hyunin Lee
· 2
Ming Jin
· 2
Somayeh Sojoudi
· 2
Bilgehan Sel
· 1
Costas Spanos
· 1
Hyunin Lee
· 1
Jongmin Lee
· 1
Junyu Guo
· 1
Topics
Safe RL
Policy Gradient
Model-Based RL
Meta-RL
Multi-Agent
Value-Based
Exploration
Offline RL